OnePlus 10 Pro 5G
Geekbench AI Score
849
Single Precision Score
777
Half Precision Score
2007
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 08:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 10 Pro 5G |
| Model ID | OnePlus NE2213 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
368
68.3 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.0 IPS |
|
|
Image Classification (Q)
|
100% |
1561
290.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
496
8.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
480
7.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
1648
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1754
2.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
1716
2.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
3923
4.65 IPS |
|
|
Object Detection (SP)
|
100% |
364
28.9 IPS |
|
|
Object Detection (HP)
|
100% |
375
29.8 IPS |
|
|
Object Detection (Q)
|
83% |
1505
121.6 IPS |
|
|
Face Detection (SP)
|
100% |
1290
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
1276
15.2 IPS |
|
|
Face Detection (Q)
|
95% |
3178
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1681
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1656
12.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3413
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2996
3.89 IPS |
|
|
Style Transfer (HP)
|
89% |
2982
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
8823
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
931
34.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
922
34.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2042
75.7 IPS |
|
|
Text Classification (SP)
|
100% |
416
555.3 IPS |
|
|
Text Classification (HP)
|
100% |
414
552.5 IPS |
|
|
Text Classification (Q)
|
88% |
771
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.14 IPS |
|
|
Machine Translation (Q)
|
50% |
464
16.5 IPS |
